Corrigendum: TorbeamNN: machine learning-based steering of ECH mirrors on KSTAR (Plasma Phys. Control. Fusion (2025) 67 (055036) DOI: 10.1088/1361-6587/add08b)

Andrew Rothstein; Minseok Kim; Minho Woo; Minsoo Cha; Cheolsik Byun; Sangkyeun Kim; Keith Erickson; Youngho Lee; Joshua Josephy-Zack; Jalal Butt; Ricardo Shousha; Mi Joung; June Woo Juhn; Kyu Dong Lee; Egemen Kolemen

doi:10.1088/1361-6587/ade826

Corrigendum: TorbeamNN: machine learning-based steering of ECH mirrors on KSTAR (Plasma Phys. Control. Fusion (2025) 67 (055036) DOI: 10.1088/1361-6587/add08b)

Andrew Rothstein, Minseok Kim, Minho Woo, Minsoo Cha, Cheolsik Byun, Sangkyeun Kim, Keith Erickson, Youngho Lee, Joshua Josephy-Zack, Jalal Butt, Ricardo Shousha, Mi Joung, June Woo Juhn, Kyu Dong Lee, Egemen Kolemen

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

There was a miscalculation while verifying the performance of the real-time electron density reconstruction model. The previous version stated: ‘For the accuracy of the ne reconstruction, we look to [1] where the mean squared error was found to be 1.31×1017 m−3 using data from the 2023 KSTAR campaign.’ This value should be corrected to be ‘For the accuracy of the ne reconstruction, we look to [1] where the root mean squared error was found to be 1.15×1018 m−3 and the median and mean absolute percentage errors are 1.85% and 2.38%, respectively using data from the 2023 KSTAR campaign.’ The interpretation of this error does not change as the percent error of the ne reconstruction model is substantially lower than the other errors present in the real-time system and consequently does not have an impact on the accuracy of our model.

Original language	English (US)
Article number	079501
Journal	Plasma Physics and Controlled Fusion
Volume	67
Issue number	7
DOIs	https://doi.org/10.1088/1361-6587/ade826
State	Published - Jul 31 2025

All Science Journal Classification (ASJC) codes

Nuclear Energy and Engineering
Condensed Matter Physics

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10.1088/1361-6587/ade826

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Rothstein, A., Kim, M., Woo, M., Cha, M., Byun, C., Kim, S., Erickson, K., Lee, Y., Josephy-Zack, J., Butt, J., Shousha, R., Joung, M., Juhn, J. W., Lee, K. D., & Kolemen, E. (2025). Corrigendum: TorbeamNN: machine learning-based steering of ECH mirrors on KSTAR (Plasma Phys. Control. Fusion (2025) 67 (055036) DOI: 10.1088/1361-6587/add08b). Plasma Physics and Controlled Fusion, 67(7), Article 079501. https://doi.org/10.1088/1361-6587/ade826

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title = "Corrigendum: TorbeamNN: machine learning-based steering of ECH mirrors on KSTAR (Plasma Phys. Control. Fusion (2025) 67 (055036) DOI: 10.1088/1361-6587/add08b)",

abstract = "There was a miscalculation while verifying the performance of the real-time electron density reconstruction model. The previous version stated: {\textquoteleft}For the accuracy of the ne reconstruction, we look to [1] where the mean squared error was found to be 1.31×1017 m−3 using data from the 2023 KSTAR campaign.{\textquoteright} This value should be corrected to be {\textquoteleft}For the accuracy of the ne reconstruction, we look to [1] where the root mean squared error was found to be 1.15×1018 m−3 and the median and mean absolute percentage errors are 1.85\% and 2.38\%, respectively using data from the 2023 KSTAR campaign.{\textquoteright} The interpretation of this error does not change as the percent error of the ne reconstruction model is substantially lower than the other errors present in the real-time system and consequently does not have an impact on the accuracy of our model.",

author = "Andrew Rothstein and Minseok Kim and Minho Woo and Minsoo Cha and Cheolsik Byun and Sangkyeun Kim and Keith Erickson and Youngho Lee and Joshua Josephy-Zack and Jalal Butt and Ricardo Shousha and Mi Joung and Juhn, \{June Woo\} and Lee, \{Kyu Dong\} and Egemen Kolemen",

year = "2025",

month = jul,

day = "31",

doi = "10.1088/1361-6587/ade826",

language = "English (US)",

volume = "67",

journal = "Plasma Physics and Controlled Fusion",

issn = "0741-3335",

publisher = "IOP Publishing Ltd.",

number = "7",

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Rothstein, A, Kim, M, Woo, M, Cha, M, Byun, C, Kim, S , Erickson, K, Lee, Y, Josephy-Zack, J, Butt, J, Shousha, R, Joung, M, Juhn, JW, Lee, KD & Kolemen, E 2025, 'Corrigendum: TorbeamNN: machine learning-based steering of ECH mirrors on KSTAR (Plasma Phys. Control. Fusion (2025) 67 (055036) DOI: 10.1088/1361-6587/add08b)', Plasma Physics and Controlled Fusion, vol. 67, no. 7, 079501. https://doi.org/10.1088/1361-6587/ade826

TY - JOUR

T1 - Corrigendum

T2 - TorbeamNN: machine learning-based steering of ECH mirrors on KSTAR (Plasma Phys. Control. Fusion (2025) 67 (055036) DOI: 10.1088/1361-6587/add08b)

AU - Rothstein, Andrew

AU - Kim, Minseok

AU - Woo, Minho

AU - Cha, Minsoo

AU - Byun, Cheolsik

AU - Kim, Sangkyeun

AU - Erickson, Keith

AU - Lee, Youngho

AU - Josephy-Zack, Joshua

AU - Butt, Jalal

AU - Shousha, Ricardo

AU - Joung, Mi

AU - Juhn, June Woo

AU - Lee, Kyu Dong

AU - Kolemen, Egemen

PY - 2025/7/31

Y1 - 2025/7/31

N2 - There was a miscalculation while verifying the performance of the real-time electron density reconstruction model. The previous version stated: ‘For the accuracy of the ne reconstruction, we look to [1] where the mean squared error was found to be 1.31×1017 m−3 using data from the 2023 KSTAR campaign.’ This value should be corrected to be ‘For the accuracy of the ne reconstruction, we look to [1] where the root mean squared error was found to be 1.15×1018 m−3 and the median and mean absolute percentage errors are 1.85% and 2.38%, respectively using data from the 2023 KSTAR campaign.’ The interpretation of this error does not change as the percent error of the ne reconstruction model is substantially lower than the other errors present in the real-time system and consequently does not have an impact on the accuracy of our model.

AB - There was a miscalculation while verifying the performance of the real-time electron density reconstruction model. The previous version stated: ‘For the accuracy of the ne reconstruction, we look to [1] where the mean squared error was found to be 1.31×1017 m−3 using data from the 2023 KSTAR campaign.’ This value should be corrected to be ‘For the accuracy of the ne reconstruction, we look to [1] where the root mean squared error was found to be 1.15×1018 m−3 and the median and mean absolute percentage errors are 1.85% and 2.38%, respectively using data from the 2023 KSTAR campaign.’ The interpretation of this error does not change as the percent error of the ne reconstruction model is substantially lower than the other errors present in the real-time system and consequently does not have an impact on the accuracy of our model.

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U2 - 10.1088/1361-6587/ade826

DO - 10.1088/1361-6587/ade826

M3 - Comment/debate

AN - SCOPUS:105010730163

SN - 0741-3335

VL - 67

JO - Plasma Physics and Controlled Fusion

JF - Plasma Physics and Controlled Fusion

IS - 7

M1 - 079501

ER -

Corrigendum: TorbeamNN: machine learning-based steering of ECH mirrors on KSTAR (Plasma Phys. Control. Fusion (2025) 67 (055036) DOI: 10.1088/1361-6587/add08b)

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